Sotabase

Career

· Chief Scientist, Poseidon AI2025–
· Chief AI Officer, Story Protocol2025–
· Assistant Professor, University of Texas at Austin2021–
· PhD in Computer Science, Stanford University2020–2020
· Bachelor's degree, California Institute of Technology (Caltech)
· Running a research lab, Crest Labs
· Postdoctoral Researcher, Stanford University
· Principal Data Scientist, Uhana
· University of Texas at Austin

Publications (26)

Cellular Network Traffic Scheduling With Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence · 2018
190
cited
Multi-agent Reinforcement Learning for Networked System Control
International Conference on Learning Representations · 2020
130
cited
NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication · 2016
119
cited
Network offloading policies for cloud robotics: a learning-based approach
Autonomous Robots · 2019
111
cited
Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud
ACM Workshop on Hot Topics in Networks · 2018
47
cited
Scheduling packets over multiple interfaces while respecting user preferences
Conference on Emerging Network Experiment and Technology · 2013
40
cited
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving
arXiv.org · 2021
12
cited
Co-design of communication and machine inference for cloud robotics
Autonomous Robots · 2021
10
cited
Data Sharing and Compression for Cooperative Networked Control
Neural Information Processing Systems · 2021
10
cited
Erosion of Conserved Binding Sites in Personal Genomes Points to Medical Histories
PLoS Comput. Biol. · 2016
9
cited
ML-EXray: Visibility into ML Deployment on the Edge
Conference on Machine Learning and Systems · 2021
9
cited
Sampling Training Data for Continual Learning Between Robots and the Cloud
International Symposium on Experimental Robotics · 2020
9
cited
Task-relevant Representation Learning for Networked Robotic Perception
arXiv.org · 2020
5
cited
HarvestNet: Mining Valuable Training Data from High-Volume Robot Sensory Streams
2010
3
cited
Coherence Time ! = # ! = $ Query Cloud SVM Classifier Robot Model FaceNet Embed
Collaborative perception and learning between robots and the cloud
2020
Sotabase
Sandeep Chinchali | Researcher Profile | Sotabase | Sotabase